Photos and Tags: A Method to Evaluate Privacy Behavior

TL;DR

This paper presents a method to analyze user privacy behavior on social media by studying photos, tags, and privacy settings, aiming to classify users and recommend stronger privacy controls.

Contribution

It introduces a novel approach to understanding and classifying privacy behaviors based on media content and settings, with a system for monitoring and recommendations.

Findings

Users often lack awareness of privacy settings

The model effectively classifies privacy behavior

The system improves privacy management

Abstract

Online Social Networking Sites attracted a massive number of users over the past decade but also raised privacy concerns with the amount of personal information disclosed. Studies have shown that 25% of the users are not aware of privacy settings provided by these sites or do not know how to change them. This paper investigates an approach towards understanding users' privacy behavior on social media, e.g. Facebook, through studying faces, tags and photo privacy settings. It classifies users based on their privacy selections and proposes a system for monitoring and recommending stronger privacy settings. An application is developed, and our case study examines the effectiveness of our model.